163 computer-science-programming-languages-"CNPEM" positions at University of Adelaide in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
-
The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
-
the next-generation health and medical workforce through education, community engagement, Aboriginal health, and rural health research. Specifically, the aim of rural training programs is to support the
-
of Adelaide’s Engineering program is ranked no. 46 in the world in the 2023-2024 US News and World Reports Best Global Universities Subject Ranking. Situated amidst the captivating landscapes of South Australia
-
questions. The Australian Academy of Technological Sciences & Engineering (ATSE)’s Elevate: Boosting Diversity in STEM program (“Elevate”) will award up to 500 undergraduate and postgraduate scholarships
-
University of Adelaide and UNSW. Defence Trailblazer are seeking a dynamic Project Manager – Technology Development and Acceleration to collaborate closely with senior academics, industry partners, defence and
-
. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted
-
a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
-
prevention. The successful candidate will join the Wildlife Crime Research Hub and work as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm
-
that theory into functional applications. To be successful you will need: Knowledge of commercial programming language and environment (i.e. Java, .NET, C++) Competence in a data science programming language